Grid integration studies of a switched reluctance generator for future hardware-in-the-loop experiments

Azongha, S.; Balathandayuthapani, Saritha; Edrington, Chris S.; Leonard, Jesse

doi:10.1109/iecon.2010.5674965

Cited by 12 publications

(9 citation statements)

References 10 publications

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“…Since the SRG can operate at variable speeds, its operating range is wider than the induction and synchronous generators [13], [16], [17]. The behavior of the SRG in variable speed mode is presented in this paper [13], [18], [19].…”

Section: Performance Of a Direct Power Control System Using Coded Wirmentioning

confidence: 99%

Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

Capovilla

Casella

Filho

et al. 2015

IEEE Trans. Ind. Electron.

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This paper presents a performance analysis of a wireless direct power control system for switched reluctance aerogenerators. Aiming at a smart grid scenario, the utilization of wireless technologies for transmitting control information requires a powerful modulation and errorcorrection coding schemes to avoid any serious problems to the energetic plant. These transmission errors can cause permanent damages in the components of the turbine and converters, and they can also compromise the quality of the energy delivered to the grid. The performance of the proposed system is investigated in a frequency-selective fading channel, thus enabling a deeper study of the impact of the use of wireless communications for reference signal transmissions. This research demonstrates the operational viability of wireless systems for this type of application, when an appropriate digital modulation and coding techniques are applied.Index Terms-Low-density parity check (LDPC), orthogonal frequency-division multiplexing (OFDM), power control, smart grid, switched reluctance generator (SRG), wind energy, wireless communications.

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Section: Performance Of a Direct Power Control System Using Coded Wirmentioning

confidence: 99%

Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

Capovilla

Casella

Filho

et al. 2015

IEEE Trans. Ind. Electron.

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show abstract

“…Such nonlinearities hinder the SRM in motor selection for applications requiring constant torque with negligible ripple or a maximum torque output for a given current excitation. While not being totally limited by such challenges, works that endorse the SRMs full potential are automotive motoring applications [1] and a high speed reluctance generator [2].…”

Section: Introductionmentioning

confidence: 99%

An optimal maximum torque per ampere strategy for switched reluctance machines

Fleming

Akar

Edrington

2012

2012 IEEE Transportation Electrification Conference and Expo (ITEC)

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Addressing drawbacks inherent to switched reluctance machines (SRM) could allow its distinctive characteristics to broaden applications from selective, niche industrial roles to various engineering sectors. Phase winding isolation is a contributing factor of advantageous characteristics unique to SRMs when compared to the industry workhorse, pulse width modulation driven induction machines. Specifically, this increases fault tolerance, simplifies the manufacturing winding process, and allows the machine to remain in a locked rotor position safely without concern of faulting, thus contributing to a greater overall robustness. On the contrary SRMs, when compared to other electrical machine types, are most notably criticized for requiring complex control strategies to achieve optimal operation, having greater overall current requirements, operating at higher speeds, and creating greater acoustic noise and torque ripple. Cumulatively, these shortcomings alienate the SRMs commercial and industrial popularity, ultimately limiting its full potential from being exploited.Since SRM torque production is typically non-linear, various techniques have been developed in order to produce the maximum torque per given current excitation, i.e. maximum torque per ampere (MTA). The "balanced commutator" control strategy uses a look-up table to account for the non-linearity of the SRMs torque-angle characteristic, yet does not totally optimize the copper or iron losses, current requirements, or effectively mitigate the torque ripple. A stochastic search technique based on evolutionary algorithms, particle swarm optimization (PSO), allows for MTA profiles to be obtained that optimize the shortcomings inherent to the balanced commutator technique. This work presents a novel MTA SRM control strategy based on the PSO technique. The optimum phases current profiles of a 4-phase, 8/6 pole SRM are obtained such that copper losses and torque ripple are minimized while achieving the desired torque at specific rotor positions. Results are compared against the balanced commutator method.

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“…Specifically, utilizing SRMs for applications requiring constant torque (with negligible ripple) or maximum torque output for a given current excitation is difficult. A few applications that showcase the SRMs potential are a high speed reluctance generator [1] and automotive motoring applications [2].…”

Section: Introductionmentioning

confidence: 99%

A computationally intelligent maximum torque per ampere control strategy for switched reluctance machines

Akar

Fleming

Edrington

2012

2012 IEEE International Electric Vehicle Conference

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While currently occupying only a niche role in industrial applications, the switched reluctance machines (SRM) unique operational characteristics could prove useful for additional engineering sectors given that inherent drawbacks are addressed. Phase winding isolation of SRMs provides greater fault tolerance when compared to the industrial standard, pulse width modulation driven induction machines. Furthermore, they may remain in a locked rotor position safely without concern of faulting and have higher speeds than many other electrical machines, i.e. contributing to greater overall robustness. When compared to other electrical machines, the SRM has higher currents requirements, creates greater acoustic noise and torque ripple, and requires more advanced controls for effective operation. Such drawbacks alienate the SRMs commercial and industrial popularity, ultimately limiting its full potential from being exploited.Since SRM torque production is typically non-linear, various techniques have been developed in order to maximize the torque output per unit current excitation, i.e. maximum torque per ampere (MTA). The "conventional" strategy, while simplistic, assumes a constant excitation over a symmetric period of the machine. This increases copper and iron losses while not effectively mitigating the current requirements or inherent torque ripple. By using particle swarm optimization (PSO), a stochastic search technique based on evolutionary algorithms, phase current MTA profiles may be obtained that optimize such conditions. This work presents a novel MTA SRM control strategy based on the PSO technique that obtains the optimum phase current profiles of a 4-phase, 8/6 pole SRM such that copper losses and torque ripple are minimized while achieving the desired torque at specific rotor positions.

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Grid integration studies of a switched reluctance generator for future hardware-in-the-loop experiments

Cited by 12 publications

References 10 publications

Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

Performance of a Direct Power Control System Using Coded Wireless OFDM Power Reference Transmissions for Switched Reluctance Aerogenerators in a Smart Grid Scenario

An optimal maximum torque per ampere strategy for switched reluctance machines

A computationally intelligent maximum torque per ampere control strategy for switched reluctance machines

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